Mathematical models of socio-economic processes
System analysis in medicine and biology
V.N. Krut`ko, V.I. Dontsov, N.S. Potemkina, T.M. Smirnova, K.A. Fedin, A.V. Fedina, A.M. Bolshakov, T.M. Hodykina Information and cognitive technologies of health saving (review)
Cognitive technology
Methods of artificial intelligence and intelligent systems
V.N. Krut`ko, V.I. Dontsov, N.S. Potemkina, T.M. Smirnova, K.A. Fedin, A.V. Fedina, A.M. Bolshakov, T.M. Hodykina Information and cognitive technologies of health saving (review)

Abstract.

Effective health management is a complex interdisciplinary task. The main factor of health saving is a healthy lifestyle. For healthy lifestyle management, an adequate method is the "goals management method" based on the creation of an effective health saving information environment in which each individual with his or her personal characteristics and individual characteristics of the surrounding social and natural environment should be immersed. Management of healthy lifestyle should be carried out by soft methods of individual information effects, offering modern science-based healthy lifestyle technologies taking into account individual habits and preferences of the person. An effective means of influence is the Internet environment. The review of modern information and cognitive technologies of health saving is carried out.

Keywords:

informatics, health, health care, healthy lifestyle, internet technology, preventive medicine, personalized medicine.

PP. 50-60.

DOI: 10.14357/20790279190105

References

1. Krut’ko, V.N. 2014. Demograficheskie problemy Rossii: setevoj proekt reshenija [Demographic problems: network the draft decision]. Rossija i sovremennyj mir [Russia and the modern world] 2(83):81-92.
2. Bol’shakov, A.M., V.N. Krut’ko and V.I. Dontsov. 2017. Vozmozhnosti komp’juternyh sistem dlja ocenki donozologicheskih izmenenij zdorov’ja [Possibilities of computer systems for estimation of prenosological changes of health]. Gigiena i sanitarija [Hygiene and sanitation] 96(11):116-119.
3. Krut’ko, V.N., V.I. Dontsov, A.I. Molodchenkov, N.S. Potemkina and I.V. Smirnov. 2017. Internettehnologija dlja personalizirovannoj podderzhki zdorov’esberezhenija [Internet technology for personalized health care support]. Vestnik vosstanovitel’noj mediciny [Bulletin of restorative medicine] 77(1):90-95.
4. Jiang, L. and C.C. Yang. 2017. User recommendation in healthcare social media by assessing user similarity in heterogeneous network. Artif. Intell. Med. 81:63-77.
5. Tung, C. and W. Lu. Analyzing depression tendency of web posts using an event-driven depression tendency warning model. 2016. Artif. Intell. Med. 66:53-62.
6. Vavrinskya, E., P. Teleka, M. Donovalb, L. Sladeka, M. Daricekb, F. Horineka and D. Donovala. Sensor system for wireless bio–signal monitoring. 2012. Procedia Chemistry. 6:155–164.
7. Namazova-Baranova, L.A., R.E. Suvorov, I.V. Smirnov, A.I. Molodchenkov, E.V. Antonova, E.A. Vishneva and V.I. Smirnov. 2012. Upravlenie riskami pacienta na osnove tehnologij udalennogo monitoringa zdorov’ja: sostojanie oblasti i perspektivy [Patient risk management based on remote health monitoring technologies: state of the region and prospects]. Procedia Engineering. 47:1323–1326.
8. Bokerija, O.L. and A.Ju. Ispirjan. 2012. Monitoring hronicheskoj serdechnoj nedostatochnosti na domu [Monitoring of chronic heart failure at home]. Annaly aritmologii [Annals of Arrhythmology] 2:14–22.
9. Doherty, S.T. and P. Oh. 2012. A multi–sensor monitoring system of human physiology and daily activities. Telemedicine and e–Health 18(3):185–192.
10. Lee, Y.G., W.S. Jeong and G. Yoon. 2012. Smartphone-based mobile health monitoring. Telemedicine and e–Health 18(8):585–590.
11. Hsieh, S.H., S.L. Hsieh, P.H. Cheng and F. Lai. 2012. E–Health and healthcare enterprise information system leveraging service oriented architecture. Telemedicine and e–Health. 18(3):205–212.
12. Dunn, A.G., M.S. Ong, J.I. Westbrook, F. Magrabi, E. Coiera and W.A. Wobcke. 2011. A simulation framework for mapping risks in clinical processes: the case of in-patient transfers. J. Am. Med. Inform. Association. 18(3):259–266.
13. Grigor’ev, P.E., Kilessa, G.V., Horseva, N.I. and N.M. Ovsjannikova. 2012. Informacionno–programmnoe obespechenie dlja kompleksnogo monitorirovanija i jekspress-testirovanija psihofiziologicheskogo sostojanija cheloveka [Information and software for complex monitoring and rapid testing of the psychophysiological state of a pers]. Kibernetika i vychislitel’naja tehnika [Cybernetics and computing] 167:75–86.
14. Schlachta–Fairchild, L., S. Varghese and A. Deickman. 2010. Telehealth and telenursing are live: APN policy and practice implications. J. Nurse Practitioner. 6: 98–106.
15. Mallow, J., L. Theeke, E. Barnes, T. Whetsel and B. Mallow. 2014. Using mHealth tools to improve rural diabetes care guided by the chronic care model. Online J. Rural Nurs Health Care. 14:43–65.
16. Medarhiv [Megargel]. Аvailable at: http://medarhiv.ru/ (accessed November 11, 2015).
17. Sistema udalennogo monitoringa [Remote monitoring system]. Аvailable at: http://www.fobosmed.ru (accessed November 11, 2015).
18. Sistema udalennogo monitoringa Monitoring zdorov’ja [Remote monitoring system Health monitoring]. Аvailable at: http://zdrav24.ru (accessed November 11, 2015).
19. Sistema udalennogo monitoringa REMSMED [Remote monitoring system REMSMED]. Аvailable at: http://www.fors.ru (accessed November 11, 2015).
20. Boulos, M.N.C, A. Yassine, S. Shirmohammadi, C.S. Namahoot and, M. Brückner. 2015. Towards an “Internet of Food”: Food Ontologies for the Internet of Things. Future Internet. 7(4):372-392.
21. Bandyopadhyay, D. and J. Sen. 2011. Internet of things: Applications and challenges in technology and standardization. Wireless Personal Communications. 58(1):49-69.
22. Elanthiraiyan, P. and S. Babu. Smart Medicine and Physical Health System Using IoT. 2015. International Journal of Computer Science and Mobile Computing. 4:333-338.
23. Kim, H., I. Kim and J. Kim. 2015. Designing the Smart Foot Mat and Its Applications: as a User Identification Sensor for Smart Home Scenarios. Advanced Science and Technology Letters. 87:1-5.
24. Jara, A.J., M.A. Zamora and A.F. Skarmeta. 2011. An internet of things-based personal device for diabetes therapy management in ambient assisted living (AAL). Personal and Ubiquitous Computing. 15(4):431-440.
25. Kuscu, M. and O.B. Akan. 2018. Modeling convection-diffusion-reaction systems for microfluidic molecular communications with surface-based receivers in Internet of Bio-Nano Things. PLoS One. 13(2):e0192202.
26. Kuznecov, P.P. 2016. Bioinformatika i industrija zdorov’ja - puti transformacii v jekonomiku znanij [Bioinformatics and the health industry are ways to transform the knowledge economy]. Vrach i informacionnye tehnologii [Doctor and information technology] 4:37-47.
27. Zingerman, B.V. 2010. Personal’naja jelektronnaja medicinskaja karta - servis, dostupnyj uzhe segodnja [Personal electronic medical record-a service available today]. Vrach i informacionnye tehnologii [Doctor and information technology] 3:15-25.
28. Kobrinskij, B.A. 2016. Edinoe informacionnoe prostranstvo: e-health i m-health [Unified information space: e-health and m-health]. Vrach i informacionnye tehnologii [Doctor and information technology] 4:57-66.
29. Mehrotra, S., P. Sudhir, G. Rao, J. Thirthalli and T.K. Srikanth. 2018. Development and pilot testing of an internet-based self-help intervention for depression for indian users. Behav Sci (Basel). 8(4):E36.
30. Sadek, I. and M. Mohktari M. 2018. Nonintrusive remote monitoring of sleep in home-based situation. J. Med. Syst. 42(4):64.
31. Tran, B.X., X.T.T. Le, P.N. Nguyen, Q.N.H. Le, H.T. Mai, H.L.T. Nguyen, H.T. Le, T.T. Tran, C.A. Latkin, M.W.B. Zhang and R.C.M. Ho. 2018. Feasibility of e-health interventions on smoking cessation among vietnamese active internet users. Int. J. Environ. Res. Public. Health. 15(1):E165.
32. Jin, W. and D.H. Kim. 2018. Design and Implementation of e-Health system based on semantic sensor network using IETF YANG. Sensors (Basel). 18(2):E629.
33. Henriksen, A., M.M. Haugen, A.Z. Woldaregay, M. Muzny, G. Hartvigsen, L.A. Hopstock and S. Grimsgaard. 2018. Using fitness trackers and smartwatches to measure physical activity in research: analysis of consumer wrist-worn wearables. J. Med. Internet. Res. 20(3):110.
34. Volchek, Ju.A., Shishko, O.N., Spiridonova, O.S. and T.V. Mohort. 2017. Polozhenie modeli iskusstvennoj nejronnoj seti v medicinskih jekspertnyh sistemah [Position of artificial neural network model in medical expert systems]. Juvenis Scientia [Juvenis Scientia] 9:4-9.
35. Pokidova, A.V. 2018. Iskusstvennyj intellekt v medicine [Artificial intelligence in medicine]. Dostizhenija nauki i obrazovanija [Achievements of science and education] 1(23):9-11.
36. Goluhova, E.Z. 2017. Ot klinicheskih issledovanij k innovacionnym tehnologijam [From clinical trials to innovative technologies]. Kreativnaja kardiologija [Creative cardiology] 11(3):192-201.
37. Karpov, O.Je., Klimenko, G.S. and G.S. Lebedev. 2016. Primenenie intellektual’nyh sistem v zdravoohranenii [Application of intelligent systems in healthcare]. Sovremennye naukoemkie tehnologii [Modern high technology] 7-1:38-43.
38. Pyrkov, T.V., K. Slipensky, M. Barg, A. Kondrashin, B. Zhurov., A. Zenin, M. Pyatnitskiy, L. Menshikov, S. Markov and P.O. Fedichev. 2018. Extracting biological age from biomedical data via deep learning: too much of a good thing?. Sci Rep. 8(1):5210.
39. Odamaki, T., K. Kato, H. Sugahara, N. Hashikura, S. Takahashi, J.Z. Xiao, F. Abe and R. Osawa. 2016. Age-related changes in gut microbiota composition from newborn to centenarian: a cross-sectional study. BMC Microbiol. 16:90.
40. Vidaki, A., D. Ballard, A. Aliferi, T.H. Miller, L.P. Barron and C.D. Syndercombe. 2017. DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing. Forensic. Sci. Int. Genet. 28:225-236.
41. Putin, E., P. Mamoshina, A. Aliper, M. Korzinkin, A. Moskalev, A. Kolosov, A. Ostrovskiy, C. Cantor, J. Vijg and A. Zhavoronkov. 2016. Deep biomarkers of human aging: application of deep neural networks to biomarker development. Aging (Albany NY). 8(5):1021-1033.
42. Krut’ko, V.N., Bol’shakov, A.M., Briko, A.N., Dontsov, V.I., Zubrihina, M.O., Krut’ko, V.N., Mamikonova, O.A., Molodchenkov, A.I., Pal’chevskij, A.I., Potemkina, N.S., Smirnov, I.V, Smirnova, T.M. , Fedin, K.A. and T.M. Hodykina. 2018. Intellektual’naja sistema zdorov’esberezhenija – In- SiZ [Intelligent system of health care – InSiZ]. Vestnik vosstanovitel’noj mediciny [Bulletin of restorative medicine] 1:14-20.
43. Dontsov, V.I., Mamikonova, O.A., Potemkina, N.S., and T.M. Smirnova. 2016. Koncepcija i arhitektura integral’nogo pasporta zdorov’ja [Concept and architecture of the integrated health passport]. Vestnik vosstanovitel’noj mediciny [Bulletin of restorative medicine ] 1:14-20.
44. Dontsv, V.I. and V.N. Krut’ko. 2016. Zdorov’esberezhenie kak sovremennoe napravlenie profilakticheskoj mediciny (Obzor) [Health saving as a modern direction of preventive medicine (Review)]. Vestnik vosstanovitel’noj mediciny [Bulletin of restorative medicine ] 1:2-9.
 

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